xlm-roberta-base-finetuned-panx-en

This model is a fine-tuned version of xlm-roberta-base on the xtreme dataset. It achieves the following results on the evaluation set:

• Loss: 0.5084
• F1: 0.5794

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e-05
• train_batch_size: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1
1.7119	1.0	19	1.0009	0.2266
0.891	2.0	38	0.6405	0.5281
0.6023	3.0	57	0.5084	0.5794

Framework versions

• Transformers 4.11.3
• Pytorch 1.11.0
• Datasets 1.16.1
• Tokenizers 0.10.3